On the Use of Luminescence Intensity Images for Quantified Characterization of Perovskite Solar Cells: Spatial Distribution of Series Resistance

dc.contributor.authorWalter, Daniel
dc.contributor.authorWu, YiLiang
dc.contributor.authorDuong, The
dc.contributor.authorPeng, Jun
dc.contributor.authorJiang, Liangcong
dc.contributor.authorFong, Kean
dc.contributor.authorWeber, Klaus
dc.date.accessioned2020-12-20T20:58:39Z
dc.date.available2020-12-20T20:58:39Z
dc.date.issued2018
dc.date.updated2020-11-23T11:50:18Z
dc.description.abstractPerovskite solar cells (PSCs) have made rapid advances in efficiency when fabricated as small-area devices. A key challenge is to increase the active area while retaining high performance, which requires fast and reliable measurement techniques to spatially resolve cell properties. Luminescence imaging-based techniques are one attractive possibility. A thermodynamic treatment of the luminescence radiation from MAPbI3 and related perovskite semiconductors predicts that the intensity of luminescence emission is proportional to the electrochemical potential in the perovskite absorber, bringing with it numerous experimental advantages. However, concerns arise about the impact of the often-observed hysteretic behavior on the interpretation of luminescence-based measurements. This study demonstrates that despite their hysteretic phenomena, at steady-state perovskite solar cells are amenable to quantitative analysis of luminescence images. This is demonstrated by calculating the spatial distribution of series resistance from steady-state photoluminescence images. This study observes good consistency between the magnitude, voltage-dependence, and spatial distribution of series resistance calculated from luminescence images and from cell-level current–voltage curves and uncalibrated luminescence images, respectively. This method has significant value for the development of PSC process control, design and material selection, and illustrates the possibilities for large-area, spatially resolved, quantitative luminescence imaging-based characterization of PSCs.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1614-6840
dc.identifier.urihttp://hdl.handle.net/1885/218662
dc.language.isoen_AUen_AU
dc.publisherWiley - VCH Verlag GmbH & CO. KGaA
dc.sourceAdvanced Energy Materials
dc.titleOn the Use of Luminescence Intensity Images for Quantified Characterization of Perovskite Solar Cells: Spatial Distribution of Series Resistance
dc.typeJournal article
local.bibliographicCitation.issue2
local.contributor.affiliationWalter, Daniel, College of Engineering and Computer Science, ANU
local.contributor.affiliationWu, YiLiang, College of Engineering and Computer Science, ANU
local.contributor.affiliationDuong, The, College of Engineering and Computer Science, ANU
local.contributor.affiliationPeng, Jun, College of Engineering and Computer Science, ANU
local.contributor.affiliationJiang, Liangcong, Monash University
local.contributor.affiliationFong, Kean, College of Engineering and Computer Science, ANU
local.contributor.affiliationWeber, Klaus, College of Engineering and Computer Science, ANU
local.contributor.authoruidWalter, Daniel, u4131215
local.contributor.authoruidWu, YiLiang, u4466710
local.contributor.authoruidDuong, The, u5447192
local.contributor.authoruidPeng, Jun, u5686151
local.contributor.authoruidFong, Kean, u4448270
local.contributor.authoruidWeber, Klaus, u9116880
local.description.notesImported from ARIES
local.identifier.absfor090605 - Photodetectors, Optical Sensors and Solar Cells
local.identifier.ariespublicationu4351680xPUB193
local.identifier.citationvolume8
local.identifier.doi10.1002/aenm.201701522
local.identifier.scopusID2-s2.0-85030088007
local.type.statusPublished Version

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